added data_skew_solution_preprocess_augmentation_script.ipynb #237
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Description
This script pulls dataset out of Roboflow workspace and creates augmentations of underrepresented classes. It does this by creating a mask of individual labels in an image and adding padding pixels. The image is saved as a jpeg and has augmentations to balance out the classes.
This was run on Google Colab with Yolov8 format
Type of change
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How has this change been tested, please provide a testcase or example of how you tested the change?
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Any specific deployment considerations
For example, documentation changes, usability, usage/costs, secrets, etc.
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